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How much do machine learning nlp jobs pay per year?

As of Jul 7, 2026, the average yearly pay for machine learning nlp in Delaware is $122,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $136,100.00 per year, depending on experience, location, and employer.

What is a Machine Learning NLP job?

A Machine Learning NLP job involves developing algorithms and models that enable machines to understand, process, and generate human language. Professionals in this role work with large datasets, train models on text data, and fine-tune natural language processing techniques such as sentiment analysis, text classification, and language translation. They often use machine learning frameworks like TensorFlow, PyTorch, and NLP libraries such as spaCy or Hugging Face Transformers. The goal is to build intelligent applications, including chatbots, search engines, and automated content analysis systems.

What are the typical daily responsibilities of a Machine Learning NLP specialist?

As a Machine Learning NLP specialist, your daily responsibilities often include designing and implementing NLP models, cleaning and preprocessing large text datasets, and experimenting with algorithms to improve model performance. You may also evaluate model results, collaborate with software engineers and data scientists, and stay updated on the latest research in the field. Frequent code reviews, participation in team meetings, and contributing to documentation are also common. This role combines hands-on technical work with collaborative problem-solving to develop language-based AI solutions for real-world applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Nlp position, and why are they important?

To thrive as a Machine Learning NLP professional, you need a strong background in machine learning, natural language processing, data analysis, and proficiency in programming languages such as Python, typically supported by a relevant degree in computer science or related field. Familiarity with NLP libraries (like spaCy, NLTK, or Hugging Face), machine learning frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are highly valued, and certifications can enhance your profile. Strong problem-solving skills, effective communication abilities, and adaptability are important soft skills in this role. These competencies enable you to build sophisticated language models and efficiently collaborate on cross-functional projects in a rapidly evolving technical landscape.

What are popular job titles related to Machine Learning Nlp jobs in Delaware? For Machine Learning Nlp jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Machine Learning Nlp jobs in Delaware look for? The top searched job categories for Machine Learning Nlp jobs in Delaware are:
Machine Learning Nlp jobs near you
Infographic showing various Machine Learning Nlp job openings in Delaware as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $122,844 per year, or $59.1 per hour.

Senior AI & Automation Specialist (Hybrid)

Bancorp Bank, The

Wilmington, DE • On-site

$100K - $132K/yr

Full-time

Re-posted 11 days ago

Job description

Position Summary
Work Arrangement:
***This position is available as a hybrid position in our Wilmington, DE office.***
At The Bancorp, we've spent more than 25 years driving innovation in the financial services industry. As one of the first banks to embrace fintech, we combine technology, expertise and a forward-looking approach to deliver creative, real-world solutions. We work side by side with our partners to help them grow and innovate with confidence. Across Fintech Solutions, Institutional Banking, Commercial Lending and Real Estate Bridge Lending, we provide the people, processes, technology and banking capabilities that turn bold ideas into outcomes.
Join a team that brings urgency and rigor to every challenge and plays a direct role in driving growth for our clients and the communities we serve.
The Senior AI & Automation Specialist is responsible for leading the design, architecture, and delivery of enterprise AI-enabled automation solutions across The Bancorp Bank. This role integrates machine learning, natural language processing, and data-driven decisioning into enterprise workflows, enabling the evolution from task-based automation to intelligent, predictive, and decision-driven processes. This position serves as the senior technical and strategic authority for AI within the Automation program, ensuring solutions are scalable, compliant, and aligned with enterprise governance, model risk, and data management frameworks. The role operates across business, technology, and risk functions, requiring the ability to navigate evolving priorities, translate complex concepts, and drive enterprise adoption of AI capabilities within a regulated banking environment.
Key Responsibilities
  1. Leads the design and architecture of enterprise AI solutions, integrating machine learning, NLP, and cognitive services into automation platforms.
  2. Defines scalable frameworks and standards for AI-enabled automation, ensuring alignment with enterprise architecture and governance requirements.
  3. Evaluates, selects, and implements AI technologies, tools, and vendors in accordance with risk appetite, regulatory expectations, and enterprise standards.
  4. Drives end-to-end delivery of intelligent automation use cases, including alert triage, document intelligence, predictive exception handling, and decision support.
  5. Partners cross-functionally with Technology, Data Science, Operations, Risk, and Compliance to operationalize AI solutions in production environments.
  6. Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath), and cloud-based AI services.
  7. Ensures all AI solutions meet model risk management, data governance, and regulatory compliance requirements.
  8. Provides technical leadership and mentorship to automation team members, elevating AI literacy and solution design capabilities.
  9. Translates business needs into scalable AI-enabled solutions with measurable operational and financial outcomes.
  10. Supports automation pipeline governance through solution evaluation, feasibility assessment, and prioritization activities.
  11. Drives continuous improvement of enterprise automation capabilities, introducing innovative AI applications aligned with strategic objectives.
  12. Contributes to broader program activities including cross-functional coordination, governance support, analysis of processes and systems, and preparation of materials for decision-making forums, as needed.
  13. Performs other duties as assigned.
  14. No travel required.

Qualification Requirements
Education / Experience Requirements
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
  • Combined experience in AI, machine learning, intelligent automation, or advanced analytics.
  • Demonstrated experience designing and deploying AI/ML solutions in enterprise or regulated environments.
  • Proven ability to lead complex, cross-functional technology initiatives.
  • Experience integrating AI capabilities into operational workflows and automation platforms.
  • Strong understanding of model risk, data governance, and regulatory considerations within financial services.

Preferred Qualifications
  • Advanced degree (Master's or PhD) in AI, Data Science, or related discipline.
  • Experience with NLP, document intelligence, and predictive modeling techniques.
  • Hands-on experience with platforms such as UiPath, Python, Azure AI/OpenAI, or similar ecosystems.
  • Familiarity with enterprise AI governance frameworks and model lifecycle management.
  • Strong understanding of cloud-based AI architecture and API-driven integrations.
  • Exceptional stakeholder engagement and ability to translate technical concepts into business value.
  • Experience building or scaling intelligent automation programs within financial services.
  • Experience operating within regulated or sponsor banking environments, including exposure to risk, compliance, and model governance expectations.
  • Demonstrated ability to operate effectively in evolving program structures and adapt to changing priorities.

Additional Information
This job will be open and accepting applications for a minimum of five days from the date it was posted.
Working at The Bancorp Bank, N.A. and Benefits Information: https://thebancorp.com/company/join-our-team/
Company Culture & Background Screening
Company Culture at The Bancorp Bank: https://www.thebancorp.com/company/company-culture/
The Bancorp Bank, N.A. is an EQUAL OPPORTUNITY EMPLOYER and will not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, pregnancy, citizenship, national origin, age, disability, genetic information, veteran status or other protected category with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.
Employment with The Bancorp Bank, N.A. includes successfully passing a background check including credit, criminal, education, employment, OFAC, and social media background history.
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